Time hierarchies in the Escherichia coli carbohydrate uptake and metabolism. 2004

A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
Systems Biology Group, Max-Planck-Institut für Dynamik Komplexer Technischer Systeme, Sandtorstr. 1, 39106 Magdeburg, Germany. kre@mpi-magdeburg.mpg.de

The analysis of metabolic pathways with mathematical models contributes to the better understanding of the behavior of metabolic processes. This paper presents the analysis of a mathematical model for carbohydrate uptake and metabolism in Escherichia coli. It is shown that the dynamic processes cover a broad time span from some milliseconds to several hours. Based on this analysis the fast processes could be described with steady-state characteristic curves. A subsequent robustness analysis of the model parameters shows that the fast part of the system may act as a filter for the slow part of the system; the sensitivities of the fast system are conserved. From these findings it is concluded that the slow part of the system shows some robustness against changes in parameters of the fast subsystem, i.e. if a parameter shows no sensitivity for the fast part of the system, it will also show no sensitivity for the slow part of the system.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D008956 Models, Chemical Theoretical representations that simulate the behavior or activity of chemical processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment. Chemical Models,Chemical Model,Model, Chemical
D004926 Escherichia coli A species of gram-negative, facultatively anaerobic, rod-shaped bacteria (GRAM-NEGATIVE FACULTATIVELY ANAEROBIC RODS) commonly found in the lower part of the intestine of warm-blooded animals. It is usually nonpathogenic, but some strains are known to produce DIARRHEA and pyogenic infections. Pathogenic strains (virotypes) are classified by their specific pathogenic mechanisms such as toxins (ENTEROTOXIGENIC ESCHERICHIA COLI), etc. Alkalescens-Dispar Group,Bacillus coli,Bacterium coli,Bacterium coli commune,Diffusely Adherent Escherichia coli,E coli,EAggEC,Enteroaggregative Escherichia coli,Enterococcus coli,Diffusely Adherent E. coli,Enteroaggregative E. coli,Enteroinvasive E. coli,Enteroinvasive Escherichia coli
D005947 Glucose A primary source of energy for living organisms. It is naturally occurring and is found in fruits and other parts of plants in its free state. It is used therapeutically in fluid and nutrient replacement. Dextrose,Anhydrous Dextrose,D-Glucose,Glucose Monohydrate,Glucose, (DL)-Isomer,Glucose, (alpha-D)-Isomer,Glucose, (beta-D)-Isomer,D Glucose,Dextrose, Anhydrous,Monohydrate, Glucose
D006019 Glycolysis A metabolic process that converts GLUCOSE into two molecules of PYRUVIC ACID through a series of enzymatic reactions. Energy generated by this process is conserved in two molecules of ATP. Glycolysis is the universal catabolic pathway for glucose, free glucose, or glucose derived from complex CARBOHYDRATES, such as GLYCOGEN and STARCH. Embden-Meyerhof Pathway,Embden-Meyerhof-Parnas Pathway,Embden Meyerhof Parnas Pathway,Embden Meyerhof Pathway,Embden-Meyerhof Pathways,Pathway, Embden-Meyerhof,Pathway, Embden-Meyerhof-Parnas,Pathways, Embden-Meyerhof
D013997 Time Factors Elements of limited time intervals, contributing to particular results or situations. Time Series,Factor, Time,Time Factor
D015398 Signal Transduction The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway. Cell Signaling,Receptor-Mediated Signal Transduction,Signal Pathways,Receptor Mediated Signal Transduction,Signal Transduction Pathways,Signal Transduction Systems,Pathway, Signal,Pathway, Signal Transduction,Pathways, Signal,Pathways, Signal Transduction,Receptor-Mediated Signal Transductions,Signal Pathway,Signal Transduction Pathway,Signal Transduction System,Signal Transduction, Receptor-Mediated,Signal Transductions,Signal Transductions, Receptor-Mediated,System, Signal Transduction,Systems, Signal Transduction,Transduction, Signal,Transductions, Signal

Related Publications

A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
December 1976, Journal of cellular physiology,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
March 1976, FEBS letters,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
September 2007, BMC systems biology,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
March 1969, Archives of biochemistry and biophysics,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
January 1957, Mikrobiologiia,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
March 2008, Bioinformatics (Oxford, England),
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
June 2012, Journal of theoretical biology,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
May 1978, FEBS letters,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
February 1968, Journal of molecular biology,
A Kremling, and S Fischer, and T Sauter, and K Bettenbrock, and E D Gilles
January 2023, FEMS microbes,
Copied contents to your clipboard!